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      The use of SAPS 3, SOFA, and Glasgow Coma Scale to predict mortality in patients with subarachnoid hemorrhage : A retrospective cohort study

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          Abstract

          Guidelines for patients with subarachnoid hemorrhage (SAH) management and several grading systems or prognostic indices have been used not only to improve the quality of care but to predict also the outcome of these patients. Among them, the gold standards Fisher radiological grading scale, Hunt-Hess and the World Federation of Neurological Surgeons (WFNS) are the most employed. The objective of this study is to compare the predictive values of simplified acute physiology score (SAPS) 3, sequential organ failure assessment (SOFA), and Glasgow Coma Scale (GCS) in the outcome of patients with aneurysmal SAH.

          Fifty-one SAH patients (33% males and 67% females; mean age of 54.1 ± 10.3 years) admitted to the intensive care units (ICU) in the post-operative phase were retrospectively studied. The patients were divided into survivors (n=37) and nonsurvivors (n = 14). SAPS 3, Fischer scale, WFNS, SOFA, and GCS were recorded on ICU admission (day 1 – D1), and 72-hours (day 3 – D3) SOFA, and GCS. The capability of each index SAPS 3, SOFA, and GCS (D1 and D3) to predict mortality was analyzed by receiver operating characteristic (ROC) curves. The area under the ROC curve (AUC) and the respective confidence interval (CI) were used to measure the index accuracy. The level of significance was set at P < .05.

          The mean SAPS 3, SOFA, and GCS on D1 were 13.5 ± 12.7, 3.1 ± 2.4, and 13.7 ± 2.8 for survivors and 32.5 ± 28.0, 5.6 ± 4.9, and 13.5 ± 1.9 for nonsurvivors, respectively. The AUC and 95% CI for SAPS 3, SOFA, and GCS on D1 were 0.735 (0.592–0.848), 0.623 (0.476–0.754), 0.565 (0.419–0.703), respectively. The AUC and 95% CI for SOFA and GCS on D3 were 0.768 (0.629–0.875) and 0.708 (0.563–0.826), respectively. The overall mortality was 37.8%.

          Even though SAPS 3 and Fischer scale predicted mortality better on admission (D1), both indices SOFA and GCS performed similarly to predict outcome in SAH patients on D3.

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          SAPS 3—From evaluation of the patient to evaluation of the intensive care unit. Part 2: Development of a prognostic model for hospital mortality at ICU admission

          Objective To develop a model to assess severity of illness and predict vital status at hospital discharge based on ICU admission data. Design Prospective multicentre, multinational cohort study. Patients and setting A total of 16,784 patients consecutively admitted to 303 intensive care units from 14 October to 15 December 2002. Measurements and results ICU admission data (recorded within ±1 h) were used, describing: prior chronic conditions and diseases; circumstances related to and physiologic derangement at ICU admission. Selection of variables for inclusion into the model used different complementary strategies. For cross-validation, the model-building procedure was run five times, using randomly selected four fifths of the sample as a development- and the remaining fifth as validation-set. Logistic regression methods were then used to reduce complexity of the model. Final estimates of regression coefficients were determined by use of multilevel logistic regression. Variables selection and weighting were further checked by bootstraping (at patient level and at ICU level). Twenty variables were selected for the final model, which exhibited good discrimination (aROC curve 0.848), without major differences across patient typologies. Calibration was also satisfactory (Hosmer-Lemeshow goodness-of-fit test Ĥ=10.56, p=0.39, Ĉ=14.29, p=0.16). Customised equations for major areas of the world were computed and demonstrate a good overall goodness-of-fit. Conclusions The SAPS 3 admission score is able to predict vital status at hospital discharge with use of data recorded at ICU admission. Furthermore, SAPS 3 conceptually dissociates evaluation of the individual patient from evaluation of the ICU and thus allows them to be assessed at their respective reference levels. Electronic Supplementary Material Electronic supplementary material is included in the online fulltext version of this article and accessible for authorised users: http://dx.doi.org/10.1007/s00134-005-2763-5
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            Changes in case fatality of aneurysmal subarachnoid haemorrhage over time, according to age, sex, and region: a meta-analysis.

            In a systematic review, published in 1997, we found that the case fatality of aneurysmal subarachnoid haemorrhage (SAH) decreased during the period 1960-95. Because diagnostic and treatment strategies have improved and new studies from previously non-studied regions have been published since 1995, we did an updated meta-analysis to assess changes in case fatality and morbidity and differences according to age, sex, and region. A new search of PubMed with predefined inclusion criteria for case finding and diagnosis identified reports on prospective population-based studies published between January, 1995, and July, 2007. The studies included in the previous systematic review were reassessed with the new inclusion criteria. Changes in case fatality over time and the effect of age and sex were quantified with weighted linear regression. Regional differences were analysed with linear regression analysis, and the regions of interest were subsequently defined as reference regions and compared with the other regions. 33 studies (23 of which were published in 1995 or later) were included that described 39 study periods. These studies reported on 8739 patients, of whom 7659 [88%] were reported on after 1995. 11 of the studies that were included in the previous review did not meet the current, more stringent, inclusion criteria. The mean age of patients had increased in the period 1973 to 2002 from 52 to 62 years. Case fatality varied from 8.3% to 66.7% between studies and decreased 0.8% per year (95% CI 0.2 to 1.3). The decrease was unchanged after adjustment for sex, but the decrease per year was 0.4% (-0.5 to 1.2) after adjustment for age. Case fatality was 11.8% (3.8 to 19.9) lower in Japan than it was in Europe, the USA, Australia, and New Zealand. The unadjusted decrease in case fatality excluding the data for Japan was 0.6% per year (0.0 to 1.1), a 17% decrease over the three decades. Six studies reported data on case morbidity, but these were insufficient to assess changes over time. Despite an increase in the mean age of patients with SAH, case-fatality rates have decreased by 17% between 1973 and 2002 and show potentially important regional differences. This decrease coincides with the introduction of improved management strategies. Netherlands Organisation for Scientific Research; ZonMw.
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              SAPS 3—From evaluation of the patient to evaluation of the intensive care unit. Part 1: Objectives, methods and cohort description

              Objective Risk adjustment systems now in use were developed more than a decade ago and lack prognostic performance. Objective of the SAPS 3 study was to collect data about risk factors and outcomes in a heterogeneous cohort of intensive care unit (ICU) patients, in order to develop a new, improved model for risk adjustment. Design Prospective multicentre, multinational cohort study. Patients and setting A total of 19,577 patients consecutively admitted to 307 ICUs from 14 October to 15 December 2002. Measurements and results Data were collected at ICU admission, on days 1, 2 and 3, and the last day of the ICU stay. Data included sociodemographics, chronic conditions, diagnostic information, physiological derangement at ICU admission, number and severity of organ dysfunctions, length of ICU and hospital stay, and vital status at ICU and hospital discharge. Data reliability was tested with use of kappa statistics and intraclass-correlation coefficients, which were >0.85 for the majority of variables. Completeness of the data was also satisfactory, with 1 [0–3] SAPS II parameter missing per patient. Prognostic performance of the SAPS II was poor, with significant differences between observed and expected mortality rates for the overall cohort and four (of seven) defined regions, and poor calibration for most tested subgroups. Conclusions The SAPS 3 study was able to provide a high-quality multinational database, reflecting heterogeneity of current ICU case-mix and typology. The poor performance of SAPS II in this cohort underscores the need for development of a new risk adjustment system for critically ill patients. Electronic Supplementary Material Electronic supplementary material is included in the online fulltext version of this article and accessible for authorised users: http://dx.doi.org/10.1007/s00134-005-2762-6
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                Author and article information

                Journal
                Medicine (Baltimore)
                Medicine (Baltimore)
                MEDI
                Medicine
                Wolters Kluwer Health
                0025-7974
                1536-5964
                October 2018
                12 October 2018
                : 97
                : 41
                : e12769
                Affiliations
                [a ]Division of Intensive Care Medicine, Department of Surgery and Anatomy, Ribeirão Preto Medical School, University of Sao Paulo
                [b ]Intensive Care Unit, Hospital das Clínicas de Ribeirão Preto
                [c ]Intensive Care Unit, Hospital São Francisco, Ribeirão Preto, SP, Brasil.
                Author notes
                []Correspondence: Anibal Basile-Filho, Division of Intensive Care Medicine, Department of Surgery and Anatomy, Ribeirão Preto Medical School, University of São Paulo, 14049–900 Ribeirão Preto, SP, Brasil (e-mail: abasile@ 123456fmrp.usp.br ).
                Article
                MD-D-18-04754 12769
                10.1097/MD.0000000000012769
                6203557
                30313090
                d7309434-bb85-4511-9e80-bddeb2c05076
                Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc.

                This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0

                History
                : 11 July 2018
                : 15 September 2018
                Categories
                3900
                Research Article
                Observational Study
                Custom metadata
                TRUE

                glasgow coma scale,icu setting,outcome,saps 3,sofa
                glasgow coma scale, icu setting, outcome, saps 3, sofa

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